{"title":"改进的Hermite多元多项式插值","authors":"P. Gaborit, O. Ruatta","doi":"10.1109/ISIT.2006.261691","DOIUrl":null,"url":null,"abstract":"In this paper we give an algorithm with complexity O(mu<sup>2 </sup>) to solve Hermite multivariate polynomial interpolation with mu conditions on its Hasse derivatives. In the case of bivariate interpolation used to perform list-decoding on Reed-Solomon of length n and dimension k with multiplicity m on each point, it permits to obtain a complexity in O(n<sup>2</sup>m<sup>4</sup>) which does not depend on the rate k/n and better than previously known complexity in O( n<sup>2 </sup>m<sup>5</sup>(n/k)<sup>(1/2)</sup>). This algorithm can also be used for recent interpolation list-decoding with three and more variables. For interpolation on polynomial with n points and M variables with prescribed multiplication order m the general complexity of the algorithm is O(n<sup>2</sup>m<sup>2M</sup>)","PeriodicalId":115298,"journal":{"name":"2006 IEEE International Symposium on Information Theory","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Improved Hermite multivariate polynomial interpolation\",\"authors\":\"P. Gaborit, O. Ruatta\",\"doi\":\"10.1109/ISIT.2006.261691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we give an algorithm with complexity O(mu<sup>2 </sup>) to solve Hermite multivariate polynomial interpolation with mu conditions on its Hasse derivatives. In the case of bivariate interpolation used to perform list-decoding on Reed-Solomon of length n and dimension k with multiplicity m on each point, it permits to obtain a complexity in O(n<sup>2</sup>m<sup>4</sup>) which does not depend on the rate k/n and better than previously known complexity in O( n<sup>2 </sup>m<sup>5</sup>(n/k)<sup>(1/2)</sup>). This algorithm can also be used for recent interpolation list-decoding with three and more variables. For interpolation on polynomial with n points and M variables with prescribed multiplication order m the general complexity of the algorithm is O(n<sup>2</sup>m<sup>2M</sup>)\",\"PeriodicalId\":115298,\"journal\":{\"name\":\"2006 IEEE International Symposium on Information Theory\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Symposium on Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIT.2006.261691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Symposium on Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2006.261691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we give an algorithm with complexity O(mu2 ) to solve Hermite multivariate polynomial interpolation with mu conditions on its Hasse derivatives. In the case of bivariate interpolation used to perform list-decoding on Reed-Solomon of length n and dimension k with multiplicity m on each point, it permits to obtain a complexity in O(n2m4) which does not depend on the rate k/n and better than previously known complexity in O( n2 m5(n/k)(1/2)). This algorithm can also be used for recent interpolation list-decoding with three and more variables. For interpolation on polynomial with n points and M variables with prescribed multiplication order m the general complexity of the algorithm is O(n2m2M)